The anisotropic YLD2000-2D yield criterion for describing the plastic response of sheet metals requires the determination of nine material parameters. Since a single standard mechanical test does not provide sufficient information for their reliable identification, heterogeneous specimens are increasingly used within the framework of Material Testing 2.0 (MT 2.0). In this master’s thesis, an automated numerical environment was developed to evaluate the suitability of different specimen geometries for the identification of YLD2000-2D model parameters. Using the Abaqus software package and the Python programming language, various uniaxially and biaxially loaded specimens were analysed. Their suitability was assessed based on the sensitivity of the response to changes in the material parameters, the mutual correlation between parameters, and the conditioning of the sensitivity matrices. The results show that uniaxially loaded specimens exhibit pronounced differences in the sensitivity of individual parameters, whereas biaxially loaded specimens generate more information-rich stress–strain states. Among the considered configurations, the transversely loaded specimen provided the most favourable conditions for identifying all investigated parameters, including the exponent of the yield criterion.
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